Mobilizing the Social Power of Iconic and Performative Texts for Justice and Reform

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
James W. Watts
Keyword(s):  
Environmental Justice ◽  
Social Reform ◽  
Social Power ◽  
Medium Term ◽  
Short Term ◽  
Culturally Specific ◽  
Cultural Innovation ◽  
The Social ◽  
Current Events

In the ten years of its existence, SCRIPT has succeeded in promoting and publishing an increasing variety of scholarship on iconic and performative texts. Culturally specific studies have provided the basis for comparative theorizing about the phenomena. This body of scholarship has put us in a better position to analyze current events involving iconic books and performative texts. It can also enable us to make creative suggestions for strengthening movements for justice and social reform by ritualizing iconic and performative texts. Here, I provide three examples of how to employ SCRIPT research to strengthen contemporary movements for social and environmental justice: a short-term episodic intervention, a medium-term structural rectification, and a long-term cultural innovation.

scholarly journals Long-Term Data Traffic Forecasting for Network Dimensioning in LTE with Short Time Series

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1151
Author(s):  
Carolina Gijón ◽  
Matías Toril ◽  
Salvador Luna-Ramírez ◽  
María Luisa Marí-Altozano ◽  
José María Ruiz-Avilés
Keyword(s):  
Time Series ◽  
Deep Learning ◽  
Time Series Analysis ◽  
Data Traffic ◽  
Medium Term ◽  
Short Term ◽  
Traffic Forecasting ◽  
Series Analysis ◽  
Radio Planning

Network dimensioning is a critical task in current mobile networks, as any failure in this process leads to degraded user experience or unnecessary upgrades of network resources. For this purpose, radio planning tools often predict monthly busy-hour data traffic to detect capacity bottlenecks in advance. Supervised Learning (SL) arises as a promising solution to improve predictions obtained with legacy approaches. Previous works have shown that deep learning outperforms classical time series analysis when predicting data traffic in cellular networks in the short term (seconds/minutes) and medium term (hours/days) from long historical data series. However, long-term forecasting (several months horizon) performed in radio planning tools relies on short and noisy time series, thus requiring a separate analysis. In this work, we present the first study comparing SL and time series analysis approaches to predict monthly busy-hour data traffic on a cell basis in a live LTE network. To this end, an extensive dataset is collected, comprising data traffic per cell for a whole country during 30 months. The considered methods include Random Forest, different Neural Networks, Support Vector Regression, Seasonal Auto Regressive Integrated Moving Average and Additive Holt–Winters. Results show that SL models outperform time series approaches, while reducing data storage capacity requirements. More importantly, unlike in short-term and medium-term traffic forecasting, non-deep SL approaches are competitive with deep learning while being more computationally efficient.

‘When that great ship went down’: Modern maritime disasters and collective memory

2014 ◽  
Vol 26 (4) ◽  
pp. 734-751
Author(s):  
Robert C. Moyer
Keyword(s):  
Collective Memory ◽  
Psychological Impact ◽  
Research Approach ◽  
Short Term ◽  
Qualitative Comparison ◽  
Indirect Measurements ◽  
Internet Media ◽  
The Social ◽  
Air Disaster

The aim of this article is to examine the social and psychological impact of modern maritime disasters upon the population of a technologically developed nation. Through an innovative research approach using various indirect measurements of public interest including the internet, media response, music and film, the article explores the interest displayed by the American public following the loss of ships such as the Titanic, Andrea Doria, Edmund Fitzgerald, and Andrea Gail. In order to provide a basis for qualitative comparison, disasters involving other modes of transportation are also considered, including the Hindenburg crash, the ‘Great Train Wreck of 1918’ in Nashville, TN, the Tenerife air disaster of 1977, and the Concorde crash of 2000. The article seeks to explain why the American public seems to display more short-term and long-term interest in maritime disasters than in disasters involving other forms of transportation.

The Phantom at The Opera

2021 ◽  
Author(s):  
Sidney Tarrow
Keyword(s):  
Social Sciences ◽  
Political Development ◽  
American Political Development ◽  
Short Term ◽  
The Social

Movements and parties have given rise to two largely separates specialties in the social sciences. This Element is an effort to link the two literatures, using evidence from American political development. It identifies five relational mechanisms governing movement/party relations: two of them short term, two intermediate term, and one long-term. It closes with a reflection on the role of movement/party relations in democratization and for democratic resilience.

Sampling estuarine copepods at different scales and resolutions: a study in Rio de la Plata

2018 ◽  
Vol 99 (5) ◽  
pp. 1059-1064 ◽  
Author(s):  
Sourav Paul ◽  
Danilo Calliari
Keyword(s):  
Sampling Effort ◽  
Rio De La Plata ◽  
Population Densities ◽  
Medium Term ◽  
Short Term ◽  
Río De La Plata ◽  
La Plata ◽  
Resource Limitations ◽  
Paracalanus Parvus

AbstractIn the Rio de la Plata salinity, temperature, chlorophyll a (chl a), and densities (ind. m−3) of the copepods Acartia tonsa and Paracalanus parvus were measured from January to November in 2003 by following a nested weekly and monthly design. Such sampling yielded two separate datasets: (i) Yearly Dataset (YD) which consists of data of one sampling effort per month for 11 consecutive months, and (ii) Seasonal Weekly Datasets (SWD) which consists of data of one sampling effort per week of any four consecutive weeks within each season. YD was assumed as a medium-term low-resolution (MTLR) dataset, and SWD as a short-term high-resolution (STHR) dataset. The hypothesis was, the SWD would always capture (shorter scales generally captures more noise in data) more detail variability of copepod populations (quantified through the regression relationships between temporal changes of salinity, temperature, chl a and copepod densities) than the YD. Analysis of both YD and SWD found that A. tonsa density was neither affected by seasonal cycles, nor temporal variability of salinity, temperature and chl a. Thus, compared to STHR sampling, MTLR sampling did not yield any further information of the variability of population densities of the perennial copepod A. tonsa. Analysis of SWD found that during summer and autumn the population densities of P. parvus had a significant positive relationship to salinity but their density was limited by higher chl a concentration; analysis of YD could not yield such detailed ecological information. That hints the effectiveness of STHR sampling over MTLR sampling in capturing details of the variability of population densities of a seasonal copepod species. Considering the institutional resource limitations (e.g. lack of long-term funding, manpower and infrastructure) and the present hypothesis under consideration, the authors suggest that a STHR sampling may provide useful complementary information to interpret results of longer-term natural changes occurring in estuaries.

scholarly journals Development of a management tool for reservoirs in Mediterranean environments based on uncertainty analysis

2012 ◽  
Vol 12 (5) ◽  
pp. 1789-1797 ◽  
Author(s):  
R. Gómez-Beas ◽  
A. Moñino ◽  
M. J. Polo
Keyword(s):  
Uncertainty Analysis ◽  
Water Cycle ◽  
Integrated Management ◽  
Management Tool ◽  
Short Term ◽  
Climate Fluctuations ◽  
The Social ◽  
Reservoir Watershed ◽  
Supply Capacity

Abstract. In compliance with the development of the Water Framework Directive, there is a need for an integrated management of water resources, which involves the elaboration of reservoir management models. These models should include the operational and technical aspects which allow us to forecast an optimal management in the short term, besides the factors that may affect the volume of water stored in the medium and long term. The climate fluctuations of the water cycle that affect the reservoir watershed should be considered, as well as the social and economic aspects of the area. This paper shows the development of a management model for Rules reservoir (southern Spain), through which the water supply is regulated based on set criteria, in a sustainable way with existing commitments downstream, with the supply capacity being well established depending on demand, and the probability of failure when the operating requirements are not fulfilled. The results obtained allowed us: to find out the reservoir response at different time scales, to introduce an uncertainty analysis and to demonstrate the potential of the methodology proposed here as a tool for decision making.

scholarly journals Towards the best future for humankind: ZIPAR whitepaper.

2018 ◽  
Author(s):  
Marko Kovic ◽  
Christian Caspar ◽  
Adrian Rauchfleisch
Keyword(s):  
Medium Term ◽  
Short Term ◽  
Profound Impact ◽  
Future Challenges ◽  
The Way

Humankind is facing major challenges in the short-term, medium-term, and long-term future. Those challenges will have a profound impact on humankind’s future progress and wellbeing. In this whitepaper, we outline our understanding of humankind’s future challenges, and we describe the way in which we work towards identifying as well as managing them. In doing so, we pursue the overall goal of ZIPAR: We want to make the best future for humankind (ever so slightly) more probable.

scholarly journals Program Corporate Social Responsibility di Industri Hotel: Sebuah Keuntungan atau Kerugian untuk Hotel

2012 ◽  
Vol 3 (1) ◽  
pp. 502
Author(s):  
Maria Pia Adiati
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Social Activity ◽  
Public Image ◽  
Term Result ◽  
Short Term ◽  
Short Term Result ◽  
The Social ◽  
Corporate Social

A word of CSR which stands for Corporate Social Responsibility is now becoming popular and more often many companies insert the CSR activities into its company profile. CSR has another different names such as Social Activity or Sustainability Development. CSR program according to wikipedia ia an organization or company has a responsibility to its customer, employees, share holders, community and environment in every aspect involved in company operasional. In the management science, there is a level whereas it is called social responsibility or it is just social obligation. Many opinions argues that CSR program will reduce the profit of the respected company. But many opinions denies the previous argue by saying the CSR program is a long term program profit gain since the short term result is good public image. The good public image will lead the loyalti of customer to keep using the product or service from the hotel. The customer loyalti also affected by the customer’s opinion, if they involves in the social activities held by the hotel, they also participate in a social activity.

scholarly journals Intralymphatic immunotherapy for allergic rhinoconjunctivitis: a systematic review and meta-analysis

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
M.P. Hoang ◽  
K. Seresirikachorn ◽  
W. Chitsuthipakorn ◽  
K. Snidvongs
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Specific Ige ◽  
Allergic Rhinoconjunctivitis ◽  
Medium Term ◽  
Short Term ◽  
Intralymphatic Immunotherapy ◽  
Specific Igg4 ◽  
Igg4 Level

BACKGROUND: Intralymphatic immunotherapy (ILIT) is a new route of allergen-specific immunotherapy. Data confirming its effect is restricted to a small number of studies. METHODOLOGY: A systematic review with meta-analysis was conducted. The short-term (less than 24 weeks), medium-term (24-52 weeks), and long-term (more than 52 weeks) effects of ILIT in patients with allergic rhinoconjunctivitis (ARC) were assessed. The outcomes were combined symptom and medication scores (CSMS), symptoms visual analog scale (VAS), disease-specific quality of life (QOL), specific IgG4 level, specific IgE level, and adverse events. RESULTS: Eleven randomized controlled trials and 2 cohorts (483 participants) were included. Compared with placebo, short term benefits of ILIT for seasonal ARC improved CSMS, improved VAS and increased specific IgG4 level but did not change QOL or specific IgE level. Medium-term effect improved VAS. Data on the long-term benefit of ILIT remain unavailable and require longer term follow-up studies. There were no clinical benefits of ILIT for perennial ARC. ILIT was safe and well-tolerated. CONCLUSION: ILIT showed short-term benefits for seasonal ARC. The sustained effects of ILIT were inconclusive. It was well tolerated.

scholarly journals A Study of Multi-Scale Relationship Between Investor Sentiment and Stock Index Fluctuation Based on the Analysis of BEMD Spillover Index

2021 ◽  
Vol 9 (4) ◽  
pp. 399-420
Author(s):  
Weiguo Chen ◽  
Shufen Zhou ◽  
Yin Zhang ◽  
Yi Sun
Keyword(s):  
Stock Price ◽  
Composite Index ◽  
Investor Sentiment ◽  
Stock Index ◽  
Financial Industry ◽  
Medium Term ◽  
Short Term ◽  
Frequency Components ◽  
Original Scale

Abstract According to behavioral finance theory, investor sentiment generally exists in investors’ trading activities and influences financial market. In order to investigate the interaction between investor sentiment and stock market as well as financial industry, this study decomposed investor sentiment, stock price index and SWS index of financial industry into IMF components at different scales by using BEMD algorithm. Moreover, the fluctuation characteristics of time series at different time scales were extracted, and the IMF components were reconstructed into short-term high-frequency components, medium-term important event low-frequency components and long-term trend components. The short-term interaction between investor sentiment and Shanghai Composite Index, Shenzhen Component Index and financial industries represented by SWS index was investigated based on the spillover index. The time difference correlation coefficient was employed to determine the medium-term and long-term correlation among variables. Results demonstrate that investor sentiment has a strong correlation with Shanghai Composite Index, Shenzhen Component Index and different financial industries represented by SWS index at the original scale, and the change of investor sentiment is mainly influenced by external market information. The interaction between most markets at the short-term scale is weaker than that at the original scale. Investor sentiment is more significantly correlated with SWS Bond, SWS Diversified Finance and Shanghai Composite Index at the long-term scale than that at the medium-term scale.

scholarly journals Memory in Linguistic Narrative vs. Postmodern Multitasked Multimedia Art Memory

2018 ◽  
Vol 1 (2) ◽  
pp. 101
Author(s):  
Vesna Srnic ◽  
Emina Berbic Kolar ◽  
Igor Ilic
Keyword(s):  
Short Term Memory ◽  
Social Role ◽  
Procedural Memory ◽  
Short Term ◽  
The Social ◽  
Multimedia Art ◽  
The Media

<p><em>In addition to the well-known classification of long-term and short-term memory, we are also interested in distinguishing episodic, semantic and procedural memory in the areas of linguistic narrative and multimedial semantic deconstruction in postmodernism. We compare the liveliness of memorization in literary tradition and literature art with postmodernist divisions and reverberations of traditional memorizations through human multitasking and performative multimedia art, as well as formulate the existence of creative, intuitive and superhuman paradigms.</em></p><em>Since the memory can be physical, psychological or spiritual, according to neurobiologist Dr. J. Bauer (Das Gedächtnis des Körpers, 2004), the greatest importance for memorizing has the social role of collaboration, and consequently the personal transformation and remodelling of genomic architecture, yet the media theorist Mark Hansen thinks technology brings different solutions of framing function (Hansen, 2000). We believe that postmodern deconstruction does not necessarily damage memory, especially in the field of human multitasking that utilizes multimedia performative art by means of anthropologization of technology, thereby enhancing artistic and affective pre&amp;post-linguistic experience while unifying technology and humans through intuitive empathy in society.</em>

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